Corresponding Author: Suhad A. Yousif Department of Mathematics and Computer Science, Faculty of Science, Beirut Arab University, Lebanon Email: [email protected] Abstract: Arabic text classification methods have emerged as a natural result of the existence of a massive amount of varied textual information (written in Arabic language) on the web. In most text classification processes, featu...

A comparison of F0 alignment values was carried out for three Arabic dialects (Moroccan Arabic, Kuwaiti Arabic and Yemeni Arabic) using five speakers from each dialect. Clear differences found in alignment enable separation of Moroccan Arabic from the two other dialects: a) values of the F0 valley differed significantly, with Moroccan Arabic showing a later synchronisation than Kuwaiti Arabic a...

This paper would like to introduce the reader into those aspects of the Arabic language which require some special treatment compared to languages Europeans are more familiar with. In spite of having fresh experience in building the Prague Arabic Dependency Treebank, the authors try to take a broader view of the problems encountered under way. The topics discussed include linguistic data retrie...

New input and output concepts under Unicode: Literary, Classical and Qurʾānic Arabic in Unicode involve more characters than the Arabic keyboard can accommodate. To enter sophisticated Arabic, Basis Technology and DecoType jointly developed an IME (input method editor): ALI (Arabic, Latin Input). When used at full power, ALI overstretches conventional font technology. Only DecoType’s Arabic Cal...

Kurzfassung: In this work, we propose an unsupervised monaural Arabic speech enhancement method that is based on two different techniques. The main idea is to determine an exact threshold value in the wavelet domain depending on the voicing state of the Arabic speech signal. Our proposed voiced/unvoiced decision algorithm based on the Multi-scale Product (MP) analysis is used. The MP is based o...

Research into statistical parsing for English has enjoyed over a decade of successful results. However, adapting these models to other languages has met with difficulties. Previous comparative work has shown that Modern Arabic is one of the most difficult languages to parse due to rich morphology and free word order. Classical Arabic is the ancient form of Arabic, and is understudied in computa...

In the past several years, Arabic Information Retrieval (IR) has garnered significant attention. The main research interests have focused on retrieval of formal language, mostly in the news domain, with ad hoc retrieval, OCR document retrieval, and cross-language retrieval. The literature on other aspects of retrieval continues to be sparse or non-existent, though some of these aspects have bee...

This book provides system developers and researchers in natural language processing and computational linguistics with the necessary background information for working with the Arabic language. The goal is to introduce Arabic linguistic phenomena and review the state-of-the-art in Arabic processing. The book discusses Arabic script, phonology, orthography, morphology, syntax and semantics, with...

Most tools and resources developed for natural language processing of Arabic are designed for Modern Standard Arabic (MSA) and perform terribly on Arabic dialects, such as Egyptian Arabic. Egyptian Arabic differs from MSA phonologically, morphologically and lexically and has no standardized orthography. We present a linguistically accurate, large-scale morphological analyzer for Egyptian Arabic...

This work presents a system for Automatic Arabic punctuation marks. Existing approaches for automatic punctuation marks do not provide suitable performance for and do not satisfy user interests in Arabic texts. The importance and rising need to automate the correct insertion of punctuation marks in Arabic texts led to a need of specific analysis of the Arabic language to introduce approaches th...